Are there any pretrained models for human recognition from all angles?
There were no pre-trained models for human that were taken from all angles (which is a somewhat extreme requirement) or specifically from above.  This condition may change due to the high value of such to the surveillance industry.

There are already several projects for which there is human specific pattern recognition and there have emerged some data sets to support this more specific field of objectives, some of which are based on moving rather than stationary images.  This is for two reasons.


Multiple frames has the potential (should computing resource utilization be overcome) to produce higher accuracy and reliability in human recognition partly because of the identification of joints in movement and partly because there is simply more information available on each object that could be a human.
Trajectory of pedestrians is important for both law enforcement and security and for avoiding pedestrians in vehicle automation.


These are some of the projects and download sites that are related to the goal of the question, but unfortunately do not seem to provide data sets of humans from above or pre-trained networks from that visual perspective.


https://software.intel.com/en-us/openvino-toolkit/documentation/pretrained-models
https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/pretrained-cascade-image-classification
https://github.com/matterport/Mask_RCNN
https://drive.google.com/drive/folders/1zvl89AgFAApbH0At-gMuZSeQB_LpNP-M
https://github.com/tensorflow/models/blob/master/research/object_detection/g3doc/detection_model_zoo.md
https://modelzoo.co/model/human-pose-estimation-with-tensorflow